Data curation code for ELSA HRS and CHARLS datasets used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

Panagiota Kontari; Kimberley Jane Smith; Christopher Richard Fife-Schaw

doi:10.15126/901027

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Data curation code for ELSA HRS and CHARLS datasets used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

Panagiota Kontari, Kimberley Jane Smith and Christopher Richard Fife-Schaw

17/12/2023

DOI:

https://doi.org/10.15126/901027

Abstract

dementia risk

cardiometabolic risk factors

depressive symptoms

secondary data analysis

longitudinal

elsa

hrs

charls

This code includes the data preparation and curation for my PhD research on “The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China”. The scripts are written in SPSS version 27 and include the code and procedures for data preparation, curation and harmonisation across three publicly available population-based databases: the English Longitudinal Study of Ageing (ELSA), Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS).

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sps

charls_code_w1_4_20200601115.64 kBDownload View

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code_data_curation_README4.01 kBDownload View

READMECC BY V4.0, Open Access

sps

elsa_code_w2_9_20190201298.77 kBDownload View

MIT license, Open Access

sps

hrs_code_w8_14_20191101151.67 kBDownload View

MIT license, Open Access

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Title: Data curation code for ELSA HRS and CHARLS datasets used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China
Creators: Panagiota Kontari (Researcher) - University of Surrey, School of Psychology
Kimberley Jane Smith (Supervisor) - University of Surrey, School of Psychology
Christopher Richard Fife-Schaw (Supervisor) - University of Surrey, School of Psychology
Date published: 17/12/2023
Grants: English Longitudinal Study of Ageing: Renewal 2020, 5R01AG017644-22, National Institutes of Health (United States, Bethesda) - NIH
Health and Retirement Study, NIA U01AG009740, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study , R01 AG030153, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study, RC2 AG036619, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study, R03 AG043052, National Institute on Aging (United States, Baltimore) - NIA
Identifiers: 99841266302346
Academic Unit: School of Psychology
Resource Type: Code

Data curation code for ELSA HRS and CHARLS datasets used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

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